code: def pad(input, pad, mode="constant", value=0):
      mode_dict = {
          "constant": "constant",
          "reflect": "reflect",
          "replicate": "edge",
          "circular": "wrap",
      }
      if mode not in mode_dict:
          raise ValueError(f"Unsupported padding mode: {mode}")
      pad = _handle_padding_shape(pad, len(input.shape), mode)
      return ivy.pad(
          input, pad, mode=mode_dict[mode], constant_values=value
      )
  
file_path: ivy/ivy/functional/frontends/torch/nn/functional/vision_functions.py
imports: import ivy
  from ivy import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 9 for calling a global function with example usage: pad(input, pad, mode, value) and returns: ivy